论文标题
戴尔：黑暗区域感知的低光图像增强
DALE : Dark Region-Aware Low-light Image Enhancement
论文作者
论文摘要
在本文中，我们提出了一种新型的低光图像增强方法，称为黑暗区域感知的低光图像增强（DALE），其中暗区通过所提出的视觉注意模块准确地识别出黑暗区域，并且它们的亮度得到了强烈的增强。我们的方法可以使用超像素以没有任何复杂过程的方式以有效的方式估算视觉关注。因此，该方法可以保留原始图像的颜色，音调和亮度，并防止图像的通常照明区域饱和和扭曲。实验结果表明，我们的方法通过提出的视觉注意力准确地识别了黑暗区域，并且在定性和定量上优于最先进的方法。
In this paper, we present a novel low-light image enhancement method called dark region-aware low-light image enhancement (DALE), where dark regions are accurately recognized by the proposed visual attention module and their brightness are intensively enhanced. Our method can estimate the visual attention in an efficient manner using super-pixels without any complicated process. Thus, the method can preserve the color, tone, and brightness of original images and prevents normally illuminated areas of the images from being saturated and distorted. Experimental results show that our method accurately identifies dark regions via the proposed visual attention, and qualitatively and quantitatively outperforms state-of-the-art methods.
